Software Engineer, Opendoor

• Has 2–4 years of experience in software engineering, ideally with exposure to machine learning workflows
• Enjoys working closely with data scientists and researchers and has strong collaboration and communication skills
• Is comfortable navigating data pipelines, model training pipelines, and production environments
• Is fluent in writing maintainable, modular, and testable Python code
• Is motivated by impact and learning — not just building infrastructure for others

Desirable

• We are looking for a mid-level Software Engineer to join our Pricing & ML team
• This is a unique opportunity to work side-by-side with applied researchers and modelers to build and productionize the machine learning models that power our pricing engine
• This role is perfect for an engineer who is excited to deepen their exposure to ML workflows
• Our models are pragmatic and straightforward, and we care more about delivering value and reliability than optimizing hyperparameters or building complex research systems
• You’ll collaborate closely with researchers, bringing their ideas into production and contributing to the full ML lifecycle — experimentation, training, evaluation, deployment, monitoring, and iteration
• Work closely with researchers and analysts to assist the development of pricing models, and convert prototypes into robust, production-grade code
• Own and operate model pipelines end-to-end — including training, validation, versioning, deployment, and monitoring
• Contribute to shared ML infrastructure and tooling as needed, while staying focused on solving business-critical problems
• Support day-to-day pricing model operations and address real-world ML lifecycle challenges like retraining, data drift, and model decay
• Navigate real estate-specific ML challenges (heterogeneous data, complex seasonality, sparse regions, high financial stakes)
• Drive engineering best practices within the ML codebase — maintainable, testable, and scalable systems